← AI Hashrate

Can RTX 4090 24GB run Devstral-Small-2-24B-Instruct-2512?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Mistral · 24.0B · model ctx up to 256K

Yes — the RTX 4090 24GB (24 GB GDDR6X) can run Devstral-Small-2-24B-Instruct-2512. At Q4 with the default 8K context it needs ≈ 19.0 GB VRAM (weights 13.2 GB + KV cache 4.8 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 26.7 tok/s (estimated, batch 1). FP16 needs ≈ 53.8 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K16.6 GBYes26.7 est.
Q48K default19.0 GBYes26.7 est.
Q432K33.4 GBNo39.4 est.
FP164K51.4 GBNo4.6 est.
FP168K default53.8 GBNo4.2 est.
FP1632K68.2 GBNo2.6 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 4090 24GB VRAM
Q413.2 GB4.8 GB1 GB19.0 GB24 GB
FP1648.0 GB4.8 GB1 GB53.8 GB24 GB

Other GPUs that run Devstral-Small-2-24B-Instruct-2512

All GPUs for Devstral-Small-2-24B-Instruct-2512 →

Other models for the RTX 4090 24GB

All models on the RTX 4090 24GB →